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Channel

长沙寻花问柳三秒

@CSLiu3

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

58,140subscribers

+2,813 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002442214952
TypeChannel
Username@CSLiu3
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live16 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/CSLiu3

Growth

55,32758,14056,733.57 August 2026 — 55,327 subscribers7 August 2026 — 55,327 subscribers8 August 2026 — 55,430 subscribers9 August 2026 — 55,706 subscribers10 August 2026 — 56,024 subscribers11 August 2026 — 56,252 subscribers12 August 2026 — 56,654 subscribers13 August 2026 — 57,033 subscribers14 August 2026 — 57,643 subscribers16 August 2026 — 58,140 subscribers7 August 202616 August 2026
10 measurements spanning 9 days, net +2,813. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 54,905–58,562 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 08:4458,140+497
14 Aug 2026, 18:3757,643+610
13 Aug 2026, 12:3557,033+379
12 Aug 2026, 13:2456,654+402
11 Aug 2026, 10:1656,252+228
10 Aug 2026, 12:4656,024+318
9 Aug 2026, 12:3555,706+276
8 Aug 2026, 11:3055,430+103
7 Aug 2026, 18:1555,327no change
7 Aug 2026, 18:0355,327first reading

Engagement

21 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.85%
avg views ÷ 58,140 subscribers
Avg views / post
4,560
21 posts measured
Reaction rate
0.245%
reactions ÷ views · ER floor
Posts in window
21
of 21 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 15 August 2026
Posts held21 (2 August 202615 August 2026)
Views total95,860
Reactions total235
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 02:11 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
11m 55s
Average length
1m 42s

Measured directly from 7 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

235 reactions across 21 posts, in 5 distinct kinds. The most used accounts for 74.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
17674.9%
👍4418.7%
🤣114.68%
👏31.28%
😁10.426%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 21 of the 21 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 235reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 2 August 2026 to 15 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

15 Aug 2026, 13:36 UTC≈1,840 views9 reactionsread 16 August 2026
Forwarded from @CSLiuSanVideo

她无套怀孕的消息传来时,柳三并不意外。 其实在这个圈子里,她不算面目可憎的坏人,毕竟她真的挺够义气的。 而她一切源头,或许都来自她的那个坦克闺蜜。 #长沙地下说唱 她不知道 这条路通向监牢 她不知道 肚子里的命要不要 她不知道 脑子里的毒散不掉 她不知道 这辈子还能往哪逃

8😁1

14 Aug 2026, 12:41 UTC≈2,730 views15 reactionsread 16 August 2026

给一年前的情书 情书这妹子一上榜我就看着眼熟,然后一问课室在湘腾——害!那不就是她嘛! 之前她还是叫“欣欣”还是啥的,那会柳三就想去的,这妹子身高170,上榜照片视频却属于甜妹系的,卖相是真的好。 但为什么没去,还是因为有人说她松,然后性格比较冷。 印象中她已经消失了快一年了吧,既然命运让我又刷到了她重新上榜,那还等啥呢,500块多大点事儿嘛! 见面以后感觉还不错,不是照骗。她穿着一身黑色JK风,气质倒有了三分御,性格确实如狼友所说,不太热络那种,见面要想亲亲抱抱那显然是不太可能了。 但好在也还没冷淡的程度,柳三夸她身材好,又说我还记得她之前开课的花名,只不过那时候没约上。妹妹一听顿时放松了好多,笑起来竟然还露出了个小酒窝。 这感觉一下子就完全不一样了,我的二弟也在此刻有了一点蠢蠢欲动的感觉。 妹子年龄写的22,确实一眼不到25岁,藏不住的不成熟。可惜衣服一脱,第一个雷点来了——她这个胸不知道是不是减肥减的,没有肌肉和乳

15

14 Aug 2026, 12:41 UTC≈2,520 views3 reactionsread 16 August 2026
Photo

【昵称】:情书 【标签】:给一年前的情书 【年龄】:22 【身高】:170 【身材】:B 【课表】:口 做 共浴 舌吻 【人照对版】:身材对版 脸去掉美颜也基本就是本人 车牌: https://t.me/fk0731/17660

3

13 Aug 2026, 15:34 UTC≈3,190 views6 reactionsread 16 August 2026
Photo

小透明柳三约课被鸽子也不是一次两次了,但临时放鸽子会不会不太厚道? 讲真的今年几乎就没约过红牌老师了,小号约课也懒得去热脸贴人家的冷屁股,这个 #芯芯 如果不是好兄弟推荐的,我也没打算约的。 也怪我,一开始说没尾课,又突然有尾课了,那时候我就应该有所警觉的。真相无非就是插了新客,懒得再等这几十分钟了吧。 也对,都三千多订阅了,调子高一点也是正常的。 这个点替补也不好找了,只能转头去92去了,害~ 涛哥对不起,我以后再也不发你表情包笑你了(骗你的

6

13 Aug 2026, 11:27 UTC≈3,290 views9 reactionsread 16 August 2026

晴雪:极品小只马(2) 早就惦记着二刷晴雪了,可要命的是,两个月前刚刚发了那篇报告,她人就消失了…… 我甚至一度都以为她是被抓了,然后她号又炸了,里外里个把月音讯全无。——当我问她怎么回事的时候,她不好意思地笑着说:“我回家休息了一个月。” 顿时有一种皇帝不急太监急的感觉,哈哈哈哈~ 最要命的是,我第一次去显然是小号去的,也没跟她说过我是谁,所以如果大号莫名其妙去问她怎么回事,人家要是回一句:“您哪位啊?” 那岂不是显得我更加小丑了? 所以,这次二刷,我换了个小号去找的她。课室就还在老地方,她说她闺蜜在一起,看来是就扎根在那里了。 见面以后,果然,完全不记得我了,哈哈哈哈~幸好没去私聊,不然就尴尬大了! 不过妹妹的个子还是那么小小的,性格还是那么软软的,穿着也还是那套乖乖的白丝水手服,真是“此时此刻,恰如彼时彼刻”了。 晴雪的舌吻还是挺给力的,这次蛇得更加深情一点,不过也能看出来妹妹确实不是接吻高手,大部分时候,还是乖乖

9

12 Aug 2026, 06:11 UTC≈4,710 views33 reactionsread 16 August 2026

为什么多给钱是最蠢的行为 舔狗最常见的特征之一,就是多给钱了。 只要你有关系好一点的老师,一定多多少少会知道,几乎每个老师背后都有那么几个自愿多给钱的傻逼舔狗。 但可能这些舔狗会觉得:“我就是钱多,我乐意多给,有问题吗?” 好,那么今天柳三就详细说说,为什么多给钱是所有舔狗行为中最蠢的没有之一。 女人都是慕强的,这是基因里的择偶本能决定的。 一个妹子定价多少,意味着她从内心认可跟自己搞一次的市场价值是多少。也就是说,从所有客人的平均尺度上来看,被普通客人日一次,她应该获得多少的补偿。 如果你多给钱,妹子只会觉得,你是低于平均值的下贱男,被你日需要获得额外的补偿才行。 而你多给的钱,就是她被你日获得的额外补偿。 女人的本能决定了,你多给钱就等于自我矮化成了弱者,你比一般男人更加“不配”和她交配。 身为男性,在两性关系中一定要弄清楚,女人是由“配得感”驱动的,这和男人的行为逻辑是完全不同的! 男人的基因本能是尽量多的传播自

👍229👏2

10 Aug 2026, 05:13 UTC≈4,970 views11 reactionsread 16 August 2026

小白菜:词不达意的情话 每次出发之前,小白菜总是会叮嘱我慢点开,可我却总是忍不住每次都恨不得飞起来。 直到把她拥在怀里,才会感觉安心。 今天的小白菜是老肩巨滑的小白菜,吊带在光洁的肩头似掉非掉,我吻了吻她的肩头,感觉自己正在被飞速唤醒。 终于,我们赤裸的上身黏在了一起,是我朝思暮想的那种触觉。 把她推倒在床上,我急不可耐地亲吻着她的全身,小巧的乳头很快在我的挑逗下挺立起来,我一路向下,好久不见的小妹妹在等待着我一亲芳泽。 我们的身体都在渴望着彼此。 我用舌头轻轻卷着她的蜜唇,滑嫩的口感真的很特别,她的花心也格外小巧,她的反应很强烈。 我故伎重施,坚硬的棒子已经蠢蠢欲动,她娇嗔道:“你又使坏!” 哎,可我本来就很坏啊,只不过在她的面前,勉强能算个坏人。 又或者,只有你才会把我当成好人呢? 已经箭在弦上,于是戴上套子直接进入正题,透过她的长发,我双手拥抱着她,伏在她的肩头,进出着她的身体,听她婉转的哀啼。 而她也总是会打开自

11

9 Aug 2026, 07:28 UTC≈4,900 views10 reactionsread 16 August 2026

小依依:美少女的娇羞 又开出稀有盲盒了兄弟们! 好长时间没出击了,今天去机场送个亲戚,想着来都来了,就挑个高铁南站附近的妹子出击一下吧。 讲老实话,小依依不是我的第一志愿,我是问了几个都说没空才问到她的。 原因无他,妹子上榜的照片美颜拉过了,五官和整个照片都不在一个图层了,所以实在是让人有点担心人照对版的程度。 没想到见到真人以后,竟然意料之外的好看。妹子的个子蛮娇小的,浓密如海藻一般的一头长发,眼神三分俏皮三分娇羞,真实年龄肯定也有20上下了。 所以她完全没有小妹子的那种稚嫩感,已经成了一颗娇艳欲滴的果实。 柳三也不管那些三七二十一了,直接上手就摸,小依依咯咯的笑着,直说我猴急。 然后我就吻了上去,她的吻技没到大蟒蛇的程度,但也没有营业感,更像是个生疏的少女,小香舌完全在我的连番攻势下无从招架。 可我这才刚刚放慢了进攻的节奏,她竟然反过来伸出舌尖撩了一下——好好好! “这么硬了?”她惊讶地了摸到我下面都变得硬邦邦了。

10

9 Aug 2026, 07:28 UTC≈3,950 views7 reactionsread 16 August 2026
Photo

【昵称】:小依依 【标签】:美少女的娇羞 【年龄】:19 【身高】:160 【身材】:B 【课表】:口 做 共浴 69 舌吻 【人照对版】:娇小可爱型,照片美颜过了,真人还是挺好看的 车牌:https://t.me/fk0731/17780

7

7 Aug 2026, 14:41 UTC≈4,620 views19 reactionsread 14 August 2026

婉儿:疑窦重重 又双叒叕被老师鸽了,幸好是在茶子山附近,于是柳三找个了地方坐着就开始找起了第二志愿。 然后就找到了婉儿,上榜照片嘛两张高P两张AI,应该也只有那么靠谱吧。 不过5张,还带69,年龄写的22岁,日也日得嘛。 这里插几句题外话,前几天跟王也哥哥聊天,王也哥哥说现在长沙市场都坏了,各种7张8张,6张快餐都一大堆,他才刚刚日了一个口都不口的。 柳三就暗笑,因为柳三最喜欢的年龄范围是20~25岁的样子,已经成熟的妹子。 虽然现在长沙的嫩妹市场一坨屎,但是5张,20~25岁的妹子真的选择面太宽了,对柳三来说,这可真是最好的时代了。 可以说是,吃到版本红利了。哈哈哈哈~ 言归正传,这婉儿本人其实卖相还不错的,一见面穿着一套黑色的JK,身材又高挑苗条,非常显嫩。 只不过房间灯光比较昏暗,凑近了才能看到脸上粉底比较厚。 柳三本来是喜出望外的,小嘴也跟抹了蜜似的开始夸妹妹好看。 但上手一摸,我本来硬了一半的鸡巴就软下去了——等

16👍3

7 Aug 2026, 14:40 UTC≈4,360 views8 reactionsread 14 August 2026
Photo

【昵称】:婉儿 【标签】:疑窦重重 【年龄】:22 【身高】:164 【身材】:B 【课表】:口 做 共浴 【人照对版】:照片都是AI的,真人倒是也挺好看的,但是明显不嫩了,疑似生过 车牌:已经饿死跑路了

8

6 Aug 2026, 17:08 UTC≈4,850 views11 reactionsread 14 August 2026
Forwarded from @CSLiuSanVideo

送给被“无套党”逼疯的那个女孩。 这首歌算是我自己非常喜欢的一首,所以第一次尝试做MV,也就做了这首歌,希望你们喜欢。 #长沙地下说唱 手中的奶龙 挡不住人心的黑 手臂的刀痕 藏着流不尽的泪 从一张白纸 被染成绝望的灰 这座不夜城 将她一寸一寸撕碎

11

Showing the 12 most recent of 21 posts we hold for @CSLiu3. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 317,035 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 16 August 2026 — this entry's latest reading, not the date you are reading this.

“长沙寻花问柳三秒” (@CSLiu3), 58,140 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/CSLiu3.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.